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Box Particle Filter

Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.

Directories

BPF_ND:

2D Box Particle Filter implementation.

  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.

BPF2D:

2D Box Particle Filter implementation.

  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.

Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).

BPF2D_fixed:

2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].

  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.

ConventionalParticleFilter:

Conventional particle filter implementation.

SLAM:

Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.

Interval:

Implementation of intervals.

Mist:

Plot helper functions.

  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors

Simulations:

Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations

About

Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.

Resources

Readme
Activity

Stars

9 stars

Watchers

1 watching

Forks

8 forks
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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

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Skip to content
BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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(function(){
try {
var __m = "*";
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BranchesTags
Repository files navigation
Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
About
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Resources
Readme
Activity
Stars
9 stars
Watchers
1 watching
Forks
8 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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style = document.createElement('style');
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filter: invert(1) hue-rotate(180deg) !important;
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Box Particle Filter
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Directories
BPF_ND:
2D Box Particle Filter implementation.
  • BPF.m: N-dimenional Box Particle Filter simulation.
  • measurementUpdate_ND.m: Measurement update for N-dimensional box particle filtering.
  • stateUpdate.m: State Update for N-dimensional box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
BPF2D:
2D Box Particle Filter implementation.
  • BPF2D.m: 2D Box Particle Filter simulation.
  • measurementUpdate.m: Measurement update for 2D box particle filtering.
  • stateUpdate.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes.m: Find which boxes in a box array intersect a given input box.
Obs.: the BPF2D function performs a full simulation. If something else must be done after each iteration, a loop calling the functions measurementUpdate and stateUpdate must be programmed manually (see BPF2D for the implemetation).
BPF2D_fixed:
2D Box Particle Filter implementation for a fixed rectangular room [Not used anymore].
  • BPF2D_fixed.m: 2D Box Particle Filter simulation.
  • measurementUpdate_fixed.m: Measurement update for 2D box particle filtering.
  • stateUpdate_fixed.m: State Update for 2D box particle filtering.
  • initBoxesArray.m: Initialise Box cell array. Used by stateUpdate function to perform resampling.
  • findIndexes_fixed.m: Find which boxes in a box array intersect a given input box.
ConventionalParticleFilter:
Conventional particle filter implementation.
SLAM:
Simple implementation of the SLAM algorithm using the BPF2D as estimator engine.
Interval:
Implementation of intervals.
Mist:
Plot helper functions.
  • plotBoxes.m - plot of each box in a box array
  • plotBoxesColor.m - plot of each box in a box array with colouring - representing each box's weight
  • plotDistance.m - plot of distance between each point in two vectors
Simulations:
Multiple example environments defined to test the SLAM algorithm and the Box Particle Filter implementations
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Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
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